Graph grammars provide a useful formalism for describing structural manipulations of multi-dimensional data. We briefly review theoretical aspects of graph grammars, particularly of the embedding problem, and then sum...
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A system for the classification of real 3-D objects is presented. Ten objects are presented in arbitrary orientation (and position, within limits). the perception of an object is achieved by the use of multiple stereo...
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New techniques are presented for determining the periodicity and scale of texture;this information is used to define an adaptive transform based an edge cooccurrence matrices for segmenting textured regions. the textu...
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this paper introduces a new method for the calibration of a range camera based on active triangulation. the technique is based on a model derived from the geometry of the synchronised scanner. From known positions of ...
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this paper describes an approach for image sequence processing, which extracts objects (or parts of objects) from the image sequence, generates motion-specifically attributed tracks (location/time course) and derives ...
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In this paper, an advanced hierarchical model has been proposed to produce a more effective character recognizer based on the probability of occurrence of the patterns. New definitions such as crucial parts, efficienc...
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this paper presents a new approach called concentration-contour approach. In this manner, diagonal-diagonal regional projection transformation (DDRPT), which converts a compound pattern into an integral object, has be...
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this paper describes a technique for symmetry detection and measurement of 3D medical entities based on the algorithm for general 3D symmetry identification that we devised recently. the technique can recognize a numb...
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Describes a novel approach to automatic signature verification based on the optimisation of a descriptive feature vector for each individual signer. the nature of the optimisation process is such that user enrolment b...
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Describes a novel approach to automatic signature verification based on the optimisation of a descriptive feature vector for each individual signer. the nature of the optimisation process is such that user enrolment becomes highly computationally intensive and hence a parallel processing approach to system implementation is necessary for practical applications. the design approach is evaluated and practical results are presented.< >
Studies the parallel recognition of 2D-images generated by parallel context-free image grammars. the authors show that the recognition of an n*n image can be done in O(log/sup 2/(n)) time with n/sup 6/ processors. For...
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Studies the parallel recognition of 2D-images generated by parallel context-free image grammars. the authors show that the recognition of an n*n image can be done in O(log/sup 2/(n)) time with n/sup 6/ processors. For unambiguous context-free and linear image grammars, they prove that only O(n/sup 3/) is needed. For deterministic parallel image grammars, the recognition can be done in O(log/sup 2/(n)) time by using n/sup 2/ processors.< >
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